Since I was a bit busy today, I did not split my time and only took on my Data Structures and Algorithms study track today. I started reading through the “Arrays and Strings” chapter of the book, “Cracking the Coding Interview” (CTCI) by Gayle Laakmann McDowell.
The “Arrays and Strings” chapter of the book is the start of the Interview Questions section. This is where the real meat of the book lives. This is where data structures and popular algorithms are fleshed out with some examples. So far I have only read through the portion on Array and ArrayList data structures. There is a lot more for me to cover but this week has started to get really busy. So my studies have become a bit limited.
TLDR;
Okay, so here are the highlights of what I did:
- Data Structures and Algorithms (DSA) -> Continued reading through the book “Cracking the Coding Interview” by Gayle Laakmann McDowell again. Starting reading about arrays and arraylists. Nothing new so far but I am sure the more difficult material is coming.
Goal For Round 8 of the #100DaysofCode Challenge
This is my eighth round of the “#100daysofcode” challenge. I will be continuing my work from round five, six, and seven into round eight. I was working through the book “Cracking the Coding Interview” by Gayle Laakmann McDowell. My goal was to become more familiar with algorithms and data structures. This goal was derived from my goal to better understand operating systems and key programs that I use in the terminal regularly e.g. Git. This goal was in turn derived from my desire to better understand the fundamental tools used for coding outside of popular GUIs. This in turn was derived from my desire to be a better back-end developer.
I am currently putting a pause on the algorithm work to build some backend/full stack projects. I primarily want to improve my skills with the back-end from an implementation perspective. I have improved tremendously in terminal and CLI skills but I lost focus due to how abstract the algorithm concepts got. I wanted to work on things that were more tangible until I can get to a position where I could directly benefit from improving my algorithm skills and theoretical knowledge. So that’s the focus right now. Build my backend skills and prove my full stack capabilities by building some dope projects.
Again, I still have no idea if my path is correct but I am walking down this road anyways. Worst case scenario I learn a whole bunch of stuff that will help me out on my own personal projects. Best case scenario I actually become one of those unicorn developers that go on to start a billion dollar company… You never know LOL.